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axolotl-alpha-chess-finetune-mistral-7b – AI Model by nlpguy | AlphaNeural AI
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nlpguy
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axolotl-alpha-chess-finetune-mistral-7b
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peft
mistral
generated_from_trainer
mistralai/Mistral-7B-v0.1
adapter
apache-2.0
4-bit
bitsandbytes
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Model card
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Finetuned on 10% of the Lichess pgn games from January 2013. (0.1 epochs)
Built with Axolotl
qlora-out
This model is a fine-tuned version of
mistralai/Mistral-7B-v0.1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6916
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 0.0002
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 10
num_epochs: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
0.9892
0.0
1
1.0104
0.7441
0.03
22
0.7426
0.7049
0.05
44
0.7099
0.6796
0.08
66
0.6916
Framework versions
PEFT 0.7.2.dev0
Transformers 4.37.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.16.0
Tokenizers 0.15.0
